Expert system is an information system that captures and stores the knowledge of human experts and then imitates human reasoning and decision- making process for those who have less expertise. Expert system are composed of two main components: - a knowledge base and inference rules.
Display the intelligent behavior. Ø Explain the reasoning. Ø Draw conclusions from complex relationships. Ø Provide needed portable knowledge. Ø Deals with the certainty. Ø Limited to narrow problem. Ø Difficult to maintain. Ø
Human expertise is very scarce. v Humans get tired from physical or mental workload. v Humans forget crucial details of a problem. v Humans are inconsistent in their day to day decisions. v Humans have limited working memory. v
v Humans are unable to retain large amounts of data in memory. v Humans are slow in recalling information. v Humans can deliberately avoid decision responsibilities. v Humans lie, hide and die.
Increase the probability , frequency and consistency of making good decisions. Ø Help distribute human expertise. Ø Facilitate real time , low cost expert level decisions by non-expert. Ø Enhance the utilization of most of the available data. Ø Permit dynamism through modularity of structure. Ø
Encourage investigations into the subtle areas of a problem. Ø Free up the mind of human expert to concentrate on more creative activities. Ø
Vithoulkas expert system Medical expert system Agricultural expert system